L‑Lactate Dehydrogenase B May Be a Predictive Marker for Sensitivity to Anti‑EGFR Monoclonal Antibodies in Colorectal Cancer Cell Lines

Total Page:16

File Type:pdf, Size:1020Kb

L‑Lactate Dehydrogenase B May Be a Predictive Marker for Sensitivity to Anti‑EGFR Monoclonal Antibodies in Colorectal Cancer Cell Lines 4710 ONCOLOGY LETTERS 17: 4710-4716, 2019 L‑Lactate dehydrogenase B may be a predictive marker for sensitivity to anti‑EGFR monoclonal antibodies in colorectal cancer cell lines AYUMU NAGAMINE1,2, TAKUYA ARAKI1,2, DAISUKE NAGANO1, MITSUE MIYAZAKI3 and KOUJIROU YAMAMOTO1,2 1Department of Clinical Pharmacology and Therapeutics, Gunma University Graduate School of Medicine; 2Department of Pharmacy, Gunma University Hospital; 3Division of Endocrinology Metabolism and Signal Research, Gunma University Initiative for Advanced Research and Institute for Molecular and Cellular Regulation, Maebashi, Gunma 371‑8511, Japan Received October 15, 2018; Accepted January 31, 2019 DOI: 10.3892/ol.2019.10075 Abstract. Recently, proteins derived from cancer cells have Introduction been widely investigated as biomarkers for predicting the efficacy of chemotherapy. In this study, to identify a sensitive Various factors such as genetic variations and changes in biomarker for the efficacy of anti‑epidermal growth factor mRNA expression patterns are known to influence drug effi- receptor monoclonal antibodies (anti-EGFR mAbs), proteins cacy, and such factors have been studied extensively. However, derived from 6 colorectal cancer (CRC) cell lines with drug responses are affected by changes in the conformation, different sensitivities to cetuximab, an anti‑EGFR mAb, were localization, and expression of numerous proteins, which analyzed. Cytoplasmic and membrane proteins extracted from are regulated by mutations and mRNA expression levels. In each CRC cell line were digested using trypsin and analyzed 2014, Zhang et al reported that only 32% of the genes showed comprehensively using mass spectrometry. As a result, 148 and statistically significant positive mRNA-protein correlation 146 peaks from cytoplasmic proteins and 363 and 267 peaks in 86 CRC samples (1). Therefore, proteomics analysis‑the from membrane proteins were extracted as specific peaks for direct evaluation of the expression levels and modifications of cetuximab‑resistant and ‑sensitive CRC cell lines, respectively. proteins‑has been focused on recently as a powerful explora- By analyzing the proteins identified from the peptide peaks, tion method for identifying predictive biomarkers for the cytoplasmic L-lactate dehydrogenase B (LDHB) was detected efficacy of chemotherapeutic drugs. as a marker of cetuximab sensitivity, and it was confirmed The expression levels of some serum proteins have been that LDHB expression was increased in cetuximab‑resistant reported to be useful indicators of sensitivity to chemotherapy CRC cell lines. Furthermore, LDHB expression levels were for cancer, and Li et al reported that variation in serum LDH significantly upregulated with the acquisition of resistance to level was useful as a predictive biomarker of efficacy of beva- cetuximab in cetuximab‑sensitive CRC cell lines. In conclu- cizumab in non‑small cell lung cancer (NSCLC) patients (2). sion, LDHB was identified as an important factor affecting Furthermore, proteomic studies analyzing several serum cetuximab sensitivity using comprehensive proteome analysis proteins using matrix‑assisted laser desorption/ionization for the first time. mass spectrometry (VeriStrat; Biodesix, Boulder, CO), clas- sified NSCLC patients treated with erlotinib, an epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor, into two groups with good or poor prognosis (3-10). However, serum proteins derived from tumor tissue and circulating in blood stably represent only a small fraction of total protein Correspondence to: Dr Takuya Araki, Department of Clinical derived from a tumor. Thus, to find more suitable predictive Pharmacology and Therapeutics, Gunma University Graduate School biomarkers for sensitivity to anticancer drugs, the analysis of Medicine, 3‑39‑22 Showa‑machi, Maebashi, Gunma 371‑8511, should include not only proteins released into blood but all Japan E‑mail: tkyaraki@gunma‑u.ac.jp proteins derived from a tumor. In 2015, Sun et al (11) reported that a high level of L-lactate Key words: L-lactate dehydrogenase B, anti-epidermal growth dehydrogenase B (LDHB) expression in tumor tissue was factor receptor monoclonal antibodies, colorectal cancer, effect associated with poor overall survival in oral cancer patients predictor, proteome treated with paclitaxel, and Ferrer et al (12) also reported that 17 kDa membrane‑associated protein expression in tumor tissue could predict sensitivity to platinum‑based therapy, EGFR inhibitors, and the proteasome inhibitor bortezomib in NAGAMINE et al: LDHB AS A PREDICTIVE MARKER FOR SENSITIVITY TO ANTI‑EGFR MONOCLONAL ANTIBODIES 4711 lung adenocarcinoma in 2018. In a meta‑analysis of clinical (Salisbury, UK). The COLO320DM cell line was purchased studies, Li et al (13) showed that aldehyde dehydrogenase 1 from the Japanese Collection of Research Bioresources could be a predictor of response to neoadjuvant chemotherapy Cell Bank (Osaka, Japan). The SW48 cell line was obtained in breast cancer. Furthermore, in recent years, proteins in from the American Type Culture Collection (Manassas, tumor cells have been comprehensively analyzed. Yu et al (14) VA, USA). These cell lines were classified into three groups identified some predictive marker proteins for sensitivity to according to cetuximab sensitivity: C99 and SW48 in the platinum‑containing drugs in patients with ovarian cancer. cetuximab‑sensitive group (Cmab‑S), C10 and HT55 in the Moreover, Chauvin et al (15) detected predictive marker cetuximab‑partial resistance group (Cmab‑PR), and CACO2 proteins for the efficacy of 5‑fluorouracil (5‑FU) in patients and COLO320DM in the cetuximab‑resistance group with locally advanced rectal cancer. As mentioned above, the (Cmab‑R). Reagents for culture [culture medium, fetal bovine usefulness of proteome analysis of tumor tissues to develop serum (FBS), and supplements] and sample preparation predictive markers for the efficacy of certain small molecule (dithiothreitol, iodoacetamide, and trypsin) were purchased drugs has been demonstrated. On the other hand, although from Wako Pure Chemical Industries (Osaka, Japan). All other L‑lactate dehydrogenase A (LDHA) expression levels in reagents were obtained from commercial sources, and those tumors have been reported to correlate with cetuximab sensi- used to analyze peptides were graded for high‑performance tivity in patients with Ewing's sarcoma (16) and gankyrin has liquid chromatography, liquid chromatography‑tandem mass been reported to contribute to resistance to chemotherapy spectrometry (LC-MS/MS), or analytical use. Standard containing bevacizumab in CRC (17), comprehensive proteome peptides used for MS analysis were synthesized by Eurofins analysis to identify predictive biomarkers for the efficacy of Genomics Japan (Tokyo, Japan). antibody drugs has not been conducted. Anti-EGFR monoclonal antibodies (anti-EGFR mAbs), Cell culture and sample preparation. Six CRC cell lines with including cetuximab and panitumumab, are key drugs in the different sensitivities to cetuximab were used in this study treatment of colorectal cancer (CRC) and are highly effective (Table I) (29). CACO2, COLO320DM, C10, HT55, and C99 cells for some CRC patients. On the other hand, anti‑EGFR mAbs were cultured in a humidified incubator at 37˚C in the presence are very expensive, and are also known to cause serious adverse of 5% CO2, while SW48 cells were cultured in a 37˚C incubator effects such as an infusion reaction or skin rash. Therefore, with no supplemental CO2. Cetuximab‑acquired resistance these drugs should be used only for patients in which an effec- cell lines (SW48R and C99R) were generated upon continuous tive response is expected. Many clinical trials have concluded exposure of SW48 and C99 cell lines to cetuximab according to that variations in the KRAS gene are a crucial factor affecting the method of Troiani et al (30). Briefly, for a period of 8 months, the clinical efficacy of anti‑EGFR mAbs. Anti‑EGFR mAbs SW48 and C99 cells were continuously exposed to cetuximab have been recommended to be used for wild‑type KRAS CRC to increase the inhibition of 50% of cancer cell growth (IC50), patients, approximately 60% of all CRC patients. However, and the final concentration was 12.8 µg/ml. Cytoplasmic and more than 50% of patients with wild‑type KRAS tumors do not membrane proteins were extracted from 80% confluent cell receive a therapeutic benefit from anti‑EGFR mAbs (18-22). lines using a Minute Plasma Membrane Protein Isolation kit Even when variations of NRAS, BRAF, and PIK3CA mutations (Invent Biotechnologies, Inc., Plymouth, MN, USA), and the or EGFR overexpression are taken into account, the primary concentrations of the extracted proteins were measured using cause of resistance to anti‑EGFR mAbs in more than half a DC™ Protein assay kit (Bio‑Rad Laboratories, Inc., Hercules, of wild-type KRAS CRC patients with poor drug responses CA, USA). Cytoplasmic and membrane protein extracts were remains unknown (20,23-28). As mentioned above, although diluted to 2.0 and 1.0 mg/ml, respectively, and assayed immedi- genome research is widely performed and has many advan- ately or stored at ‑80˚C until assay. tages such as the ease of the procedure, it has become clear that fluctuation in protein expression, which directly affects Mass spectrometry analysis. As a pretreatment for cytoplasmic drug efficacy, cannot be explained with genome information and membrane protein samples, protein samples (45 µl) were alone. Thus, factors affecting
Recommended publications
  • Protein Identities in Evs Isolated from U87-MG GBM Cells As Determined by NG LC-MS/MS
    Protein identities in EVs isolated from U87-MG GBM cells as determined by NG LC-MS/MS. No. Accession Description Σ Coverage Σ# Proteins Σ# Unique Peptides Σ# Peptides Σ# PSMs # AAs MW [kDa] calc. pI 1 A8MS94 Putative golgin subfamily A member 2-like protein 5 OS=Homo sapiens PE=5 SV=2 - [GG2L5_HUMAN] 100 1 1 7 88 110 12,03704523 5,681152344 2 P60660 Myosin light polypeptide 6 OS=Homo sapiens GN=MYL6 PE=1 SV=2 - [MYL6_HUMAN] 100 3 5 17 173 151 16,91913397 4,652832031 3 Q6ZYL4 General transcription factor IIH subunit 5 OS=Homo sapiens GN=GTF2H5 PE=1 SV=1 - [TF2H5_HUMAN] 98,59 1 1 4 13 71 8,048185945 4,652832031 4 P60709 Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 - [ACTB_HUMAN] 97,6 5 5 35 917 375 41,70973209 5,478027344 5 P13489 Ribonuclease inhibitor OS=Homo sapiens GN=RNH1 PE=1 SV=2 - [RINI_HUMAN] 96,75 1 12 37 173 461 49,94108966 4,817871094 6 P09382 Galectin-1 OS=Homo sapiens GN=LGALS1 PE=1 SV=2 - [LEG1_HUMAN] 96,3 1 7 14 283 135 14,70620005 5,503417969 7 P60174 Triosephosphate isomerase OS=Homo sapiens GN=TPI1 PE=1 SV=3 - [TPIS_HUMAN] 95,1 3 16 25 375 286 30,77169764 5,922363281 8 P04406 Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 - [G3P_HUMAN] 94,63 2 13 31 509 335 36,03039959 8,455566406 9 Q15185 Prostaglandin E synthase 3 OS=Homo sapiens GN=PTGES3 PE=1 SV=1 - [TEBP_HUMAN] 93,13 1 5 12 74 160 18,68541938 4,538574219 10 P09417 Dihydropteridine reductase OS=Homo sapiens GN=QDPR PE=1 SV=2 - [DHPR_HUMAN] 93,03 1 1 17 69 244 25,77302971 7,371582031 11 P01911 HLA class II histocompatibility antigen,
    [Show full text]
  • Inhibiting TG2 Sensitizes Lung Cancer to Radiotherapy Through Interfering
    bioRxiv preprint doi: https://doi.org/10.1101/597112; this version posted April 6, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Title page 2 3 Inhibiting TG2 sensitizes lung cancer to radiotherapy through interfering 4 TOPOIIα-mediated DNA repair 5 6 Xiao Lei#, Zhe Liu#, Kun Cao#, Yuanyuan Chen#, Jianming Cai, Fu Gao*, Yanyong 7 Yang* 8 9 #Authors contributed equally to this work. 10 11 Department of Radiation Medicine, Faculty of Naval Medicine, Second Military 12 Medical University, 800, Xiangyin Road, 200433, Shanghai, P.R. China; 13 14 *Corresponding author: Yanyong Yang, Fu Gao and Jianming Cai. 15 Address: Department of Radiation Medicine, Faculty of Naval Medicine, Second 16 Military Medical University; 800, Xiangyin Road, 200433, Shanghai, P.R. China. Fax: 17 +86-21-81871148. E-mail: [email protected], [email protected], 18 [email protected]; 19 20 Running title: Targeting TG2 sensitizes lung cancer to radiotherapy 21 22 Keywords: TG2, Radiosensitization, TOPOIIα, NSCLC, DNA repair 23 24 Conflicts of interest 25 The authors have no conflicts of interest to disclose. 26 1 bioRxiv preprint doi: https://doi.org/10.1101/597112; this version posted April 6, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 27 Abstract 28 Radiotherapy is an indispensable strategy for lung cancer, however, treatment failure 29 or reoccurrence is often found in patients due to the developing radioresistance.
    [Show full text]
  • Supplementary Material Computational Prediction of SARS
    Supplementary_Material Computational prediction of SARS-CoV-2 encoded miRNAs and their putative host targets Sheet_1 List of potential stem-loop structures in SARS-CoV-2 genome as predicted by VMir. Rank Name Start Apex Size Score Window Count (Absolute) Direct Orientation 1 MD13 2801 2864 125 243.8 61 2 MD62 11234 11286 101 211.4 49 4 MD136 27666 27721 104 205.6 119 5 MD108 21131 21184 110 204.7 210 9 MD132 26743 26801 119 188.9 252 19 MD56 9797 9858 128 179.1 59 26 MD139 28196 28233 72 170.4 133 28 MD16 2934 2974 76 169.9 71 43 MD103 20002 20042 80 159.3 403 46 MD6 1489 1531 86 156.7 171 51 MD17 2981 3047 131 152.8 38 87 MD4 651 692 75 140.3 46 95 MD7 1810 1872 121 137.4 58 116 MD140 28217 28252 72 133.8 62 122 MD55 9712 9758 96 132.5 49 135 MD70 13171 13219 93 130.2 131 164 MD95 18782 18820 79 124.7 184 173 MD121 24086 24135 99 123.1 45 176 MD96 19046 19086 75 123.1 179 196 MD19 3197 3236 76 120.4 49 200 MD86 17048 17083 73 119.8 428 223 MD75 14534 14600 137 117 51 228 MD50 8824 8870 94 115.8 79 234 MD129 25598 25642 89 115.6 354 Reverse Orientation 6 MR61 19088 19132 88 197.8 271 10 MR72 23563 23636 148 188.8 286 11 MR11 3775 3844 136 185.1 116 12 MR94 29532 29582 94 184.6 271 15 MR43 14973 15028 109 183.9 226 27 MR14 4160 4206 89 170 241 34 MR35 11734 11792 111 164.2 37 52 MR5 1603 1652 89 152.7 118 53 MR57 18089 18132 101 152.7 139 94 MR8 2804 2864 122 137.4 38 107 MR58 18474 18508 72 134.9 237 117 MR16 4506 4540 72 133.8 311 120 MR34 10010 10048 82 132.7 245 133 MR7 2534 2578 90 130.4 75 146 MR79 24766 24808 75 127.9 59 150 MR65 21528 21576 99 127.4 83 180 MR60 19016 19049 70 122.5 72 187 MR51 16450 16482 75 121 363 190 MR80 25687 25734 96 120.6 75 198 MR64 21507 21544 70 120.3 35 206 MR41 14500 14542 84 119.2 94 218 MR84 26840 26894 108 117.6 94 Sheet_2 List of stable stem-loop structures based on MFE.
    [Show full text]
  • Oviductal Response to Gametes and Early Embryos in Mammals
    REPRODUCTIONREVIEW Oviductal response to gametes and early embryos in mammals Veronica Maillo1, Maria Jesus Sánchez-Calabuig1, Ricaurte Lopera-Vasquez1, Meriem Hamdi1, Alfonso Gutierrez-Adan1, Patrick Lonergan2 and Dimitrios Rizos1 1Departamento de Reproducción Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain and 2School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland Correspondence should be addressed to D Rizos; Email: [email protected] Abstract The oviduct is a complex and organized thin tubular structure connecting the ovary with the uterus. It is the site of final sperm capacitation, oocyte fertilization and, in most species, the first 3–4 days of early embryo development. The oviductal epithelium is made up of ciliary and secretory cells responsible for the secretion of proteins and other factors which contribute to the formation of the oviductal fluid. Despite significant research, most of the pathways and oviductal factors implicated in the crosstalk between gametes/early embryo and the oviduct remain unknown. Therefore, studying the oviductal environment is crucial to improve our understanding of the regulatory mechanisms controlling fertilization and embryo development. In vitro systems are a valuable tool to study in vivo pathways and mechanisms, particularly those in the oviducts which in livestock species are challenging to access. In studies of gamete and embryo interaction with the reproductive tract, oviductal epithelial cells, oviductal fluid and microvesicles co-cultured with gametes/embryos represent the most appropriate in vitro models to mimic the physiological conditions in vivo. Reproduction (2016) 152 R127–R141 Introduction Despite significant research, most of the pathways and oviductal factors implicated in the crosstalk between The oviducts (or fallopian tubes, uterine tubes) the gametes/early embryo(s) and the oviduct remain were described for the first time by the 16th century unknown.
    [Show full text]
  • Characterizing Genomic Duplication in Autism Spectrum Disorder by Edward James Higginbotham a Thesis Submitted in Conformity
    Characterizing Genomic Duplication in Autism Spectrum Disorder by Edward James Higginbotham A thesis submitted in conformity with the requirements for the degree of Master of Science Graduate Department of Molecular Genetics University of Toronto © Copyright by Edward James Higginbotham 2020 i Abstract Characterizing Genomic Duplication in Autism Spectrum Disorder Edward James Higginbotham Master of Science Graduate Department of Molecular Genetics University of Toronto 2020 Duplication, the gain of additional copies of genomic material relative to its ancestral diploid state is yet to achieve full appreciation for its role in human traits and disease. Challenges include accurately genotyping, annotating, and characterizing the properties of duplications, and resolving duplication mechanisms. Whole genome sequencing, in principle, should enable accurate detection of duplications in a single experiment. This thesis makes use of the technology to catalogue disease relevant duplications in the genomes of 2,739 individuals with Autism Spectrum Disorder (ASD) who enrolled in the Autism Speaks MSSNG Project. Fine-mapping the breakpoint junctions of 259 ASD-relevant duplications identified 34 (13.1%) variants with complex genomic structures as well as tandem (193/259, 74.5%) and NAHR- mediated (6/259, 2.3%) duplications. As whole genome sequencing-based studies expand in scale and reach, a continued focus on generating high-quality, standardized duplication data will be prerequisite to addressing their associated biological mechanisms. ii Acknowledgements I thank Dr. Stephen Scherer for his leadership par excellence, his generosity, and for giving me a chance. I am grateful for his investment and the opportunities afforded me, from which I have learned and benefited. I would next thank Drs.
    [Show full text]
  • Gene Section Review
    Atlas of Genetics and Cytogenetics in Oncology and Haematology OPEN ACCESS JOURNAL INIST-CNRS Gene Section Review CYB5A (Cytochrome B5 Type A (microsomal)) Valentina E Gomez, Amir Avan, Godefridus J Peters, Elisa Giovannetti Department of Medical Oncology, VU University Medical Center, Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands.(VEG, GJP, EG) [email protected]; [email protected]; Molecular Medicine group, Department of Modern Sciences and Technologies, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran (AA) [email protected]; Cancer Pharmacology Lab, AIRC Start-Up Unit, University of Pisa, Pisa , Italy (EG) [email protected] Published in Atlas Database: November 2015 Online updated version : http://AtlasGeneticsOncology.org/Genes/CYB5AID53723ch18q22.html Printable original version : http://documents.irevues.inist.fr/bitstream/handle/2042/66058/11-2015-CYB5AID53723ch18q22.pdf DOI: 10.4267/2042/66058 This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 2.0 France Licence. © 2016 Atlas of Genetics and Cytogenetics in Oncology and Haematology -FAUP1 (FBR-MuSV-Associated Ubiquitously Abstract Expressed (fox derived) Pseudogene 1; 18q22.3 Review on Cytochrome B5 Type A, with data on DNA/RNA DNA/RNA, on the protein encoded and the diseases in which the gene has been implicated. Description The CYB5A gene is situated on chromosome 18, Identity starting from 74250847 and ending at 74292016 bp. The gene encodes a membrane-bound cytochrome Other names: MCB5, CYB5 protein. HGNC (Hugo): CYB5A Transcription Location: 18q22.3 For this gene, seven alternatively spliced transcript Local order variants have been identified (CYB5A-001, -002, - Based on MapViewer, genes flanking are: 003, -004, -005, -006 and -007).
    [Show full text]
  • Supplementary Figures and Tables 1 2 3 Time Course
    1 Supplementary Figures and Tables 2 3 for manuscript: 4 Time course analysis of the brain transcriptome during transitions between brood care and 5 reproduction in the clonal raider ant 6 Romain Libbrecht*1,2, Peter R. Oxley*1,3, Daniel J. C. Kronauer1 7 *co-first authors 8 1 Laboratory of Social Evolution and Behavior, The Rockefeller University, 1230 York Avenue, New York, 9 NY 10065, USA 10 2 Institute of Organismic and Molecular Evolution, Johannes Gutenberg University, Johannes-von-Müller- 11 Weg 6, 55128 Mainz, Germany 12 3 Samuel J. Wood Library, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA 13 Correspondence: [email protected] 14 [email protected] 15 A B C 1.5 RC12 Number of genes with more 0.0 than 2-fold change in expression RC06 RC12 RB12 BR96 RB06 BC06 RB24 BR06 RC06 12- through 96-hour time points RB48 RB06 BR96 BC06 RB96 BR12 BR48 BC12 564 BC12 BR06 BR24 BR12 BR48 RB96 BR24 RB12 RB24 18 RB48 16 34 6-hour BR 0 1 4 6-hour RB 16 RC12 BR96 BC06 BR06 RC06 RB06 RB96 BC12 BR12 BR48 BR24 RB12 RB24 RB48 17 Supplementary Figure 1 18 Outlier analysis. PCA and distance map of genes showing greater than 2-fold change in 19 expression. A) PCA plot of brood-swap and control samples. Clustering was based on the mean 20 gene expression of each group, for 967 genes with more than 2-fold change in expression 21 between samples. Percentages on each axis indicate the proportion of variance explained by 22 the indicated principal component.
    [Show full text]
  • PRODUCT SPECIFICATION Product Datasheet
    Product Datasheet QPrEST PRODUCT SPECIFICATION Product Name QPrEST CR063 Mass Spectrometry Protein Standard Product Number QPrEST28820 Protein Name Uncharacterized protein C18orf63 Uniprot ID Q68DL7 Gene C18orf63 Product Description Stable isotope-labeled standard for absolute protein quantification of Uncharacterized protein C18orf63. Lys (13C and 15N) and Arg (13C and 15N) metabolically labeled recombinant human protein fragment. Application Absolute protein quantification using mass spectrometry Sequence (excluding KLPHICGFPIKMTSKPCYYTQELTKPNIQEHKVKPPNLTTKKMLRASLTQ fusion tag) ATSRKPACAQSLLPCSVAVDHKVELSVSQPTSGIFSALHLQP Theoretical MW 27984 Da including N-terminal His6ABP fusion tag Fusion Tag A purification and quantification tag (QTag) consisting of a hexahistidine sequence followed by an Albumin Binding Protein (ABP) domain derived from Streptococcal Protein G. Expression Host Escherichia coli LysA ArgA BL21(DE3) Purification IMAC purification Purity >90% as determined by Bioanalyzer Protein 230 Purity Assay Isotopic Incorporation >99% Concentration >5 μM after reconstitution in 100 μl H20 Concentration Concentration determined by LC-MS/MS using a highly pure amino acid analyzed internal Determination reference (QTag), CV ≤10%. Amount >0.5 nmol per vial, two vials supplied. Formulation Lyophilized in 100 mM Tris-HCl 5% Trehalose, pH 8.0 Instructions for Spin vial before opening. Add 100 μL ultrapure H2O to the vial. Vortex thoroughly and spin Reconstitution down. For further dilution, see Application Protocol. Shipping Shipped at ambient temperature Storage Lyophilized product shall be stored at -20°C. See COA for expiry date. Reconstituted product can be stored at -20°C for up to 4 weeks. Avoid repeated freeze-thaw cycles. Notes For research use only Product of Sweden. For research use only. Not intended for pharmaceutical development, diagnostic, therapeutic or any in vivo use.
    [Show full text]
  • GRADY-DISSERTATION-2017.Pdf (6.311Mb)
    EFFECT OF MESENCHYMAL STEM CELLS ON EQUINE OVARIAN FOLLICULAR DEVELOPMENT AND GENE EXPRESSION A Dissertation by SICILIA TATIANA GRADY Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Chair of Committee, Katrin Hinrichs Committee Members, Scott V. Dindot Qinglei Li Ashlee E. Watts Head of Department, Larry J. Suva August 2017 Major Subject: Biomedical Sciences Copyright 2017 Sicilia Tatiana Grady ABSTRACT Aging affects the reproductive efficiency of females. In rodent models, injection of mesenchymal stem cells (MSCs) improves function and induces trophic mRNA expression in ovaries compromised by chemotherapy. However, little information is available on the effect of MSCs in the aging ovary, an application which if effective in increasing fertility, would have an impact in both human and equine reproduction. The aim of the research outlined in this dissertation was to investigate this area. We hypothesized that injection of MSCs into the ovaries of old mares would increase follicle numbers and increase expression of genes related to follicle growth. We examined for the first time the use of fluorescent quantum dots (QDs) to label equine MSCs, to see if this would allow them to be tracked after injection. We found that QD-labeled MSCs retain their ability to proliferate and differentiate. The QDs were maintained in MSCs induced to differentiate into chondrocytes (non-proliferating), but the percentage of labeled cells and the fluorescence intensity decreased to essentially non-detectable within 3 to 5 days in rapidly proliferating cells. Co-culture of equine ovarian tissue with MSCs was not effective due to tissue degradation in culture; however, we used this trial to develop effective methods for isolation of RNA from the extremely fibrous equine ovarian tissue.
    [Show full text]
  • Supplementary Information
    Supplementary Information Supplementary Figure 1 2 Supplementary Figure 2 3 Supplementary Figure 3 4 Supplementary Figure 4 5 Supplementary Figure 5 6 Supplementary Figure 6 7 Supplementary Figure 7 8 Supplementary Table 1 9 Supplementary Table 2 23 Supplementary Table 3 25 Supplementary References 26 1 Supplementary Figure 1 Supplementary Figure 1. Testing cell-specific dataset by differential expression analysis and known marker genes for gene transcriptions. (A) Differential gene expression analysis of human spermatogenesis dataset provided by Xia B., et al. (2020) shows unique expression sets among individual cell stages defined by binary logarithmic Fold Change (log2FC) of gene expression at a threshold of 0.25. (B) PCA-based trajectory analysis is consistent with gene sets for cell-stage identifications as reported in human single-cell atlas (Guo et al., 2018). List of gene marker clusters in individual stages is provided in Supplementary Table 1. (C,D,E) Normalized 2 absolute spermatogenesis transcriptome shows total cellular gene transcription, mitochondrial gene transcription, and RNF20 expression known for TCEA inhibition. [all statistical analysis provided in the figure was tested by Pearson’s correlation at a cut-off p-value < 0.001] Supplementary Figure 2 Supplementary Figure 2. TCEA expression profile in human embryogenesis. (A,B) TCEA expression profile of human embryogenesis classified by days [day 3-7] (left) and tissue types [epiblast, not applicable, primitive endoderm, and trophectoderm] (right) provided by (Sladitschek et al., 2020). (C,D) Correlation analyses between embryogene-related gene transcription and TCEA1 (left) and TCEA2 (right). [all statistical analysis provided in the figure was tested by Pearson’s correlation at a cut-off p-value < 0.001] 3 Supplementary Figure 3 Supplementary Figure 3.
    [Show full text]
  • Exome Sequencing Enhanced Package Department of Pathology and Laboratory Medicine Feb 2012 UCLA Molecular Diagnostics Laboratories Page:1
    UCLA Health System Clinical Exome Sequencing Enhanced Package Department of Pathology and Laboratory Medicine Feb 2012 UCLA Molecular Diagnostics Laboratories Page:1 Gene_Symbol Total_coding_bp %_bp_>=10X Associated_Disease(OMIM) MARC1 1093 80% . MARCH1 1005 100% . MARC2 1797 92% . MARCH3 802 100% . MARCH4 1249 99% . MARCH5 861 96% . MARCH6 2907 100% . MARCH7 2161 100% . MARCH8 900 100% . MARCH9 1057 73% . MARCH10 2467 100% . MARCH11 1225 56% . SEPT1 1148 100% . SEPT2 1341 100% . SEPT3 1175 100% . SEPT4 1848 96% . SEPT5 1250 94% . SEPT6 1440 96% . SEPT7 1417 96% . SEPT8 1659 98% . SEPT9 2290 96% Hereditary Neuralgic Amyotrophy SEPT10 1605 98% . SEPT11 1334 98% . SEPT12 1113 100% . SEPT14 1335 100% . SEP15 518 100% . DEC1 229 100% . A1BG 1626 82% . A1CF 1956 100% . A2LD1 466 42% . A2M 4569 100% . A2ML1 4505 100% . UCLA Health System Clinical Exome Sequencing Enhanced Package Department of Pathology and Laboratory Medicine Feb 2012 UCLA Molecular Diagnostics Laboratories Page:2 Gene_Symbol Total_coding_bp %_bp_>=10X Associated_Disease(OMIM) A4GALT 1066 100% . A4GNT 1031 100% . AAAS 1705 100% Achalasia‐Addisonianism‐Alacrima Syndrome AACS 2091 94% . AADAC 1232 100% . AADACL2 1226 100% . AADACL3 1073 100% . AADACL4 1240 100% . AADAT 1342 97% . AAGAB 988 100% . AAK1 3095 100% . AAMP 1422 100% . AANAT 637 93% . AARS 3059 100% Charcot‐Marie‐Tooth Neuropathy Type 2 AARS 3059 100% Charcot‐Marie‐Tooth Neuropathy Type 2N AARS2 3050 100% . AARSD1 1902 98% . AASDH 3391 100% . AASDHPPT 954 100% . AASS 2873 100% Hyperlysinemia AATF 1731 99% . AATK 4181 78% . ABAT 1563 100% GABA‐Transaminase Deficiency ABCA1 6991 100% ABCA1‐Associated Familial High Density Lipoprotein Deficiency ABCA1 6991 100% Familial High Density Lipoprotein Deficiency ABCA1 6991 100% Tangier Disease ABCA10 4780 100% .
    [Show full text]
  • Investigating Polyphosphate Biology: from Post-Translational Modification to Rare Disease
    Investigating polyphosphate biology: From post-translational modification to rare disease Amanda Bentley-DeSousa A thesis submitted to the Faulty of Graduate and Postdoctoral Studies in partial fulfillment of requirements for the Doctorate in Philosophy degree in Cellular and Molecular Medicine Department of Cellular and Molecular Medicine Faculty of Medicine University of Ottawa Ó Amanda Bentley-DeSousa, Ottawa, Canada, 2021 Authorizations Manuscript #1 Bentley-DeSousa, A., Holinier, C., Moteshareie, H., Tseng, Y-C., Kajjo, S., Nwosu, C., Amodeo, G.F., Bondy-Chorney, E., Sai, Y., Rudner A., Golshani, A., Davey, N.E., and Downey, M. (2018). A Screen for Candidate Targets of Lysine Polyphosphorylation Uncovers a Conserved Network Implicated in Ribosome Biogenesis. Cell Reports 22, 3427-3439. This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Manuscript #2 McCarthy, L.*, Bentley-DeSousa, A.*, Denoncourt, A., Tseng, Y-C., Gabriel, M., and Downey M. (2020). Proteins required for vacuolar function are targets of lysine polyphosphorylation in yeast. FEBS Letters 594, 21-30. *Authors contributed equally License number: 5011081359570 License date: February 16, 2021 License content published: John Wiley and Sons License content publication: FEBS Letters Manuscript #3 Bentley-DeSousa, A., and Downey, M. Vtc5 is localized to the vacuole membrane by the conserved AP-3 complex to regulate polyphosphate synthesis in budding yeast. Manuscript submitted to BioRxiv and in review at mBio Manuscript #4 (Review – Appendix C) Bentley-DeSousa, A., and Downey, M. (2019). From underlying chemistry to therapeutic potential: open questions in the new field of lysine polyphosphorylation.
    [Show full text]